Techniques for optimal enhancement and feature extraction of fetal electrocardiogram

Outram, Nicholas; Ifeachor, Emmanuel; Eetvelt, P.W.J. Van; Curnow, John

doi:10.1049/ip-smt:19952074

Cited by 33 publications

(23 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…산모의 복부에서 측정한 ECG 신호를 이용 태아의 ECG를 추출하는 신호 처리 방법에 대한 여러 연구가 수행되어 왔다 [3][4][5][6][7][8][9][10][11][12][13][14][15][16].…”

Section: 서 론unclassified

See 1 more Smart Citation

Mobile ECG Measurement System Design with Fetal ECG Extraction Capability

Choi¹,

Kim²,

Kim³

et al. 2017

The Transactions of The Korean Institute of Electrical Engineer

View full text Add to dashboard Cite

-In this paper, the abdomen ECG(AECG) is employed to measure the mother's ECG instead of the conventioanl thoracic ECG measurement. The fetus ECG signal can be extracted from the AECG using an algorithm that utilizes the mobile fetal ECG measurement platform, which is based on the BLE (Bluetooth Low Energy). The algorithm has been implemented by using a replacement processor processed directly from the platform BLE instead of the large statistical data processing required in the ICA(Independent component analysis). The proposed algorithm can be implemented on a mobile BLE wireless ECG system hardware platform to process the maternal ECG. Wireless technology can realize a compact, lowpower radio system for short distance communication and the IOT(Intenet of Things) enables the transmission of real-time ECG data. It was also implemented in the form of a compact module in order for mothers to be able to download and store the collected ECG data without having to interrupt or move the logger, and later link the module to a computer for downloading and analyzing the data. A mobile ECG measurement prototype is manufactured and tested to measure the FECG for pregnant women. The experimental results verify a real-time FECG extraction capability for the proposed system. In this paper, we propose an ECG measurement system that shows approximately 91.65% similarity to the MIT database and the conventional algorithm and SNR performance about 10% better.

show abstract

Section: 서 론unclassified

“…그중 대표적인 방법으로 적응 필터링(Adaptive Filtering [3], N.J. Out ram [4], G Mihaela Ungureanu [5]와 K. Prasanth [6]에 의하여 연구 되었 으며, 직접 기준 신호를 사용 하지 않고 태아의 QRS를 추출 하 는 알고리즘이 A.G. Farvet [7]과 Y. Park [8] [13].…”

Section: 서 론unclassified

Mobile ECG Measurement System Design with Fetal ECG Extraction Capability

Choi¹,

Kim²,

Kim³

et al. 2017

The Transactions of The Korean Institute of Electrical Engineer

View full text Add to dashboard Cite

show abstract

“…The conventional adaptive filtering is based on training an adaptive filter for either removing the mECG using one or several maternal reference channels [18], [19], or directly training the filter for extracting the fetal QRS waves [20], [21]. However, existing adaptive filtering methods for mECG artifact removal, either require a reference mECG channel that is morphologically similar to the contaminating waveform or require several linearly independent channels to roughly reconstruct any morphologic shape from the references [18].…”

Section: Introductionmentioning

confidence: 99%

Fetal ECG Extraction by Extended State Kalman Filtering Based on Single-Channel Recordings

Niknazar

Rivet

Jutten

2013

IEEE Trans. Biomed. Eng.

120

View full text Add to dashboard Cite

Abstract-In this paper, we present an extended nonlinear Bayesian filtering framework for extracting ECGs from a singlechannel as encountered in the fetal ECG extraction from abdominal sensor. The recorded signals are modeled as the summation of several ECGs. Each of them is described by a nonlinear dynamic model, previously presented for the generation of a highly realistic synthetic ECG. Consequently, each ECG has a corresponding term in this model and can thus be efficiently discriminated even if the waves overlap in time. The parameter sensitivity analysis for different values of noise level, amplitude and heart rate ratios between fetal and maternal ECGs shows its effectiveness for a large set of values of these parameters. This framework is also validated on the extractions of fetal ECG from actual abdominal recordings, as well as of actual twin magnetocardiograms.

show abstract

“…To achieve separation of fetal and maternal electrocardiograms are used basically three groups of techniques: adaptive filtering [3], [4], [5], [6], linear decompositions such as Wavelets [7], singular value decomposition (SVD) [8], and blind source separation (BSS) [9], and nonlinear transformations such as techniques based on state space [10] BSS is the most widely used technique for extracting the FECG, since it has been shown that BSS methods are better than the adaptive filters [11], and nonlinear transformations have greater computational load and require some parameters to be set empirically.…”

Section: Introductionmentioning

confidence: 99%

Fetal electrocardiogram extraction using hybrid BSS technique: COMBI and MULTICOMBI algorithms

Sarmiento-Álvarez¹,

Millet-Roig²,

González-Salvador³

2014

Iteckne

View full text Add to dashboard Cite

Abstract-In this paper, we use two algorithms for obtaining fetal ECG from abdominal ECG. The algorithms are MULTICOM-BI and COMBI, which are a combination of EFICA and WASOBI algorithms. The performance of the algorithms COMBI, MUL-TICOMBI, WASOBI, EFICA and traditional JADE algorithm are compared. A semi synthetic database and two actual databases are used to compare the performance of algorithms using as parameter the signal to error ratio SER. It is found that the COMBI and MULTICOMBI algorithms show better performance than the JADE, EFICA and WASOBI algorithms.Keywords-Abdominal ECG, COMBI, fetal ECG, MULTICOMBI, SER, SIR.Resumen-En este artículo se emplean dos algoritmos para obtener el ECG fetal a partir del ECG abdominal. Los algoritmos son MULTICOMBI and COMBI, los cuales son una combinación de los algoritmos EFICA y WASOBI. SE compara el desempeño de los algoritmos COMBI, MULTICOMBI, WASOBI, EFICA y el tradicional algoritmo de JADE. Para comparar el desempeño de los algoritmos se usa una base de datos semi-sintética y dos bases de datos reales usando como parámetro la relación señal a error SER. Se encuentra que los algoritmos COMBI y MULTICOMBI muestran mejor desempeño que los algoritmos JADE, EFICA y WASOBI.Palabras claves -Abdominal ECG, COMBI, fetal ECG, MULTI-COMBI, SER, SIR.

show abstract

Techniques for optimal enhancement and feature extraction of fetal electrocardiogram

Cited by 33 publications

References 0 publications

Mobile ECG Measurement System Design with Fetal ECG Extraction Capability

Mobile ECG Measurement System Design with Fetal ECG Extraction Capability

Fetal ECG Extraction by Extended State Kalman Filtering Based on Single-Channel Recordings

Fetal electrocardiogram extraction using hybrid BSS technique: COMBI and MULTICOMBI algorithms

Contact Info

Product

Resources

About